DKE-Seminar and Project

On this page you can find information about the scientific seminar and project/practical course "Data and Knowledge Engineering", which takes place during the summer term 2019.

During the course this page will be updated continuously.

Content and Topics

This course deals with selected topics and subdomains of the research area "Data and Knowledge Engineering". Students acquire insight in methods of user behavior analysis and modeling, knowledge discovery and visualization, data mining, adaptive retrieval systems etc. Below the topics for the summer term 2019 (tba) are listed:

Topics
Identification of Text Reading Sequences at Information Seeking
User Search-Behavior and Exhaustion
Constrainted Clustering
Analysis of Features Detectors and Descriptors (SIFT, SURF, BRISK, ORB, BRIEF)
Near-Duplicate Image Retrieval: Recent Research
Machine Learning in Games
Identification of Features on Cover Images to Classify Genres of Print Media
Classification Using Machine Learning Approaches Eye State Prediction
MR Image Segmentation
Image Registration using DL
A survey of various Deep Learning Activation Functions and Optimizers
Why Should I Trust You?": Explaining the Predictions of Any Classifier

At the beginning of the course we will present the suggested topics but own ideas or suggestions are also welcome. Topics may require knowledge about Machine Learnung and/or Information Retrieval. Additionally, all topics involve a certain amount of programming. Therefore knowledge in a (relevant) programming language is necessary.

Interested Persons

Please register yourself via LSF. Registrations will open on the 18th of March 2019. The seminar and project is limited to 10 participants. We apply the scheme: "First Come, First Serve" (FCFS). The topic distribution will be decided in the first dates of the course. I.e. if you have registered first and you are physically present at the first appointment, you can pick any of the presented topics. Anyone who is not present, will be skipped accordingly.

Dates and Rooms

12.04.2019: G22A-111, 9:00 - 11:00, First meeting to introduce the course, present and select the topics
19.04.2019: Easter holidays
26.04.2019: G22A-111, 9:00 - 11:00, Meeting to introduce scientific working and select the topics (if any are left) and deadline for subscribing to the course.
03.05.2019: Work @ Home (read paper, write own paper, implement project)
09.05.2019: Submission for the concept presentations via E-Mail at 9:00 am!
10.05.2019: G22A-111, 9:00 - 11:00, Meeting: Concept presentations
17.05.2019: Final topic proposal via E-Mail (1 page, abstract + concept)
24.05.2019: Work @ Home (read paper, write own paper, implement project)
31.05.2019: Work @ Home (read literature, write paper, implement project)
07.06.2019: Paper draft submission at 9:00 am (exactly 8 pages with template (plus references)) via E-Mail
12.06.2019: Get review from topic supervisor [+ Meeting with supervisor]
14.06.2019: Finalize the Paper @ Home
21.06.2019: Finalize the Paper @ Home
25.06.2019: Final Version submission at 9:00 am  (exactly 8 pages with template (plus references)) via E-Mail
28.06.2019: Paper presentation (Block Seminar 9:00-12:00 G29-130)
05.07.2019: Paper presentation (Block Seminar 9:00-12:00 G29-130)

 

Further information about the course can be found in the LSF portal here (Seminar).

Teaching Staff

If you have any questions about the course, please contact us via E-Mail:

Materials

Last Modification: 21.05.2019 - Contact Person:

Sie können eine Nachricht versenden an: Prof. Dr.-Ing. Andreas Nürnberger
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